Dysregulation of the circadian rhythm is associated with many diseases, including diabetes, obesity, and cancer. Aryl hydrocarbon receptor nuclear translocator-like protein 1 ( or ) is the only clock gene whose loss disrupts circadian locomotor behavior in constant darkness. BMAL1 levels are affected by proteasomal inhibition and by several enzymes in the ubiquitin-proteasome system, but the exact molecular mechanism remains unclear. Here, using immunoprecipitation and MS analyses, we discovered an interaction between BMAL1 and ubiquitin-conjugating enzyme E2 O (UBE2O), an E3-independent E2 ubiquitin-conjugating enzyme ( hybrid E2/E3 enzyme). Biochemical experiments with cell lines and animal tissues validated this specific interaction and uncovered that UBE2O expression reduces BMAL1 levels by promoting its ubiquitination and degradation. Moreover, UBE2O expression/knockdown diminished/increased, respectively, BMAL1-mediated transcriptional activity but did not affect gene expression. Bioluminescence experiments disclosed that knockdown elevates the amplitude of the circadian clock in human osteosarcoma U2OS cells. Furthermore, mapping of the BMAL1-interacting domain in UBE2O and analyses of BMAL1 stability and ubiquitination revealed that the conserved region 2 (CR2) in UBE2O significantly enhances BMAL1 ubiquitination and decreases BMAL1 protein levels. A Cys-to-Ser substitution experiment identified the critical Cys residue in the CR2 domain responsible for BMAL1 ubiquitination. This work identifies UBE2O as a critical regulator in the ubiquitin-proteasome system, which modulates BMAL1 transcriptional activity and circadian function by promoting BMAL1 ubiquitination and degradation under normal physiological conditions.

Living organisms on the earth maintain a roughly 24 h circadian rhythm, which is regulated by circadian clock genes and their protein products. Post-translational modifications of core clock proteins could affect the circadian behavior. Although ubiquitination of core clock proteins was studied extensively, the reverse process, deubiquitination, has only begun to unfold and the role of this regulation on circadian function is not completely understood. Here, we use affinity purification and mass spectrometry analysis to identify probable ubiquitin carboxyl-terminal hydrolase FAF-X (USP9X) as an interacting protein of the core clock protein aryl hydrocarbon receptor nuclear translocator-like protein 1 (ARNTL or BMAL1). Through biochemical experiments, we discover that USP9X reduces BMAL1 ubiquitination, enhances its stability, and increases its protein level, leading to the elevated transcriptional activity. Bioluminescence measurement reveals that USP9X knockdown decreases the amplitude of the cellular circadian rhythm but the period and phase are not affected. Our experiments find a new regulator for circadian clock at the post-translational level and demonstrate a different regulatory function for the circadian clock through the deubiquitination and the up-regulation of the core clock protein BMAL1 in the positive limb of the transcription-translation feedback loop.

Molecular profiling of the most aggressive brain tumor glioblastoma (GBM) on the basis of gene expression, DNA methylation, and genomic variations advances both cancer research and clinical diagnosis. The enhancer architectures and regulatory circuitries governing tumor-intrinsic transcriptional diversity and subtype identity are still elusive. Here, by mapping H3K27ac deposition, we analyze the active regulatory landscapes across 95 GBM biopsies, 12 normal brain tissues, and 38 cell line counterparts. Analyses of differentially regulated enhancers and super-enhancers uncovered previously unrecognized layers of intertumor heterogeneity. Integrative analysis of variant enhancer loci and transcriptome identified topographies of transcriptional enhancers and core regulatory circuitries in four molecular subtypes of primary tumors: AC1-mesenchymal, AC1-classical, AC2-proneural, and AC3-proneural. Moreover, this study reveals core oncogenic dependency on super-enhancer–driven transcriptional factors, long noncoding RNAs, and druggable targets in GBM. Through profiling of transcriptional enhancers, we provide clinically relevant insights into molecular classification, pathogenesis, and therapeutic intervention of GBM.

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Circadian systems provide a fitness advantage to organisms by allowing them to adapt to daily changes of environmental cues, such as light/dark cycles. The molecular mechanism underlying the circadian clock has been well characterized. However, how internal circadian clocks are entrained with regular daily light/dark cycles remains unclear. By collecting and analyzing indirect calorimetry (IC) data from more than 2000 wild-type mice available from the International Mouse Phenotyping Consortium (IMPC), we show that the onset time and peak phase of activity and food intake rhythms are reliable parameters for screening defects of circadian misalignment. We developed a machine learning algorithm to quantify these two parameters in our misalignment screen (SyncScreener) with existing datasets and used it to screen 750 mutant mouse lines from five IMPC phenotyping centres. Mutants of five PLOS Genetics | https://doi.org/10.1371/journal.pgen. Data Availability Statement:The data underlying the results presented in this study are available from the IMPC consortium (https://www. mousephenotype.org/help/api-access/) or Cambridge-suda genomic resource center (http:// genes (Slc7a11, Rhbdl1, Spop, Ctc1 and Oxtr) were found to be associated with altered patterns of activity or food intake. By further studying the Slc7a11 tm1a/tm1a mice, we confirmed its advanced activity phase phenotype in response to a simulated jetlag and skeleton photoperiod stimuli. Disruption of Slc7a11 affected the intercellular communication in the suprachiasmatic nucleus, suggesting a defect in synchronization of clock neurons. Our study has established a systematic phenotype analysis approach that can be used to uncover the mechanism of circadian entrainment in mice. Author summarySynchronization to environmental changes such as day and night cycles and seasonal cycles is critical for survival. Organisms have therefore evolved a specialized circadian system to anticipate and adapt to daily changes in the environment. Loss of synchrony between the internal circadian clock and environment day and night changes is responsible for jet lag, but may also promote sleep disorders, metabolic disorders and many diseases. The availability of large amounts of mouse data from the International Mouse Phenotype Consortium provides new opportunities to identify novel genetic components of mouse behaviour and metabolism. In this study, we performed a high-throughput identification of genetic components of circadian misalignment by developing a machine learning-based algorithm. By analyzing the indirect calorimetry parameters from more than 2000 C57BL/6N mice and mice from 750 mutant lines, we identified 5 genes involved in circadian misalignment of activity and feeding behaviour. Further analyzing genetic knock-out mice for one of these genes, we were able to validate our screening method by functional studies. Our systemic analysis thus paves the way for searching the genetic determinants for circadian misalignment.